AIMC Topic: Algorithms

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A machine-learning approach to predict postprandial hypoglycemia.

BMC medical informatics and decision making Nov 6, 2019
BACKGROUND: For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While there have been many studies...
Blood Glucose Logistic Models Hypoglycemic Agents Support Vector Machine Hypoglycemia Blood Glucose Self-Monitoring Algorithms Retrospective Studies Adult Sensitivity and Specificity Humans Machine Learning
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A novel approach for breast cancer prediction using optimized ANN classifier based on big data environment.

Health care management science Nov 5, 2019
Cancer is caused by the un-controlled division of abnormal cells in a body part. Various cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) threatens the lives of people and today, it is the secondary prime cause of...
Female Humans Breast Neoplasms Neural Networks, Computer Algorithms Big Data
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Machine Learning of Discriminative Gate Locations for Clinical Diagnosis.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Nov 5, 2019
High-throughput single-cell cytometry technologies have significantly improved our understanding of cellular phenotypes to support translational research and the clinical diagnosis of hematological and immunological diseases. However, subjective and ...
Humans Machine Learning Algorithms Flow Cytometry
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Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the potential value of the machine learning (ML)-based MRI texture analysis for predicting 1p/19q codeletion status of lower-grade gliomas (LGG), using various state-of-the-art ML algorithms.
Chromosome Deletion Chromosomes, Human, Pair 1 Chromosomes, Human, Pair 19 Male Middle Aged Glioma Support Vector Machine Magnetic Resonance Imaging Area Under Curve Bayes Theorem Retrospective Studies Female Humans Adult Brain Neoplasms Neural Networks, Computer Machine Learning Algorithms
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Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 5, 2019
OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson's disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning m...
Algorithms Female Aged Male Humans Machine Learning Subthalamic Nucleus Rest Middle Aged Analysis of Variance Wavelet Analysis Parkinson Disease Tremor Reaction Time Deep Brain Stimulation
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ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches.

Journal of chemical information and modeling Nov 5, 2019
Adverse effects induced by drug-drug interactions may result in early termination of drug development or even withdrawal of drugs from the market, and many drug-drug interactions are caused by the inhibition of cytochrome P450 (CYP450) enzymes. There...
Humans Neural Networks, Computer Artificial Intelligence Cytochrome P-450 Enzyme System Quantitative Structure-Activity Relationship Machine Learning Protein Isoforms Algorithms Cytochrome P-450 Enzyme Inhibitors Drug Discovery Models, Biological
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Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training.

Sensors (Basel, Switzerland) Nov 5, 2019
Technologies such as robot-assisted gait trainers or functional electrical stimulation can improve the rehabilitation process of people affected with gait disorders due to stroke or other neurological defects. By combining both technologies, the pote...
Humans Algorithms Signal Processing, Computer-Assisted Adult Acceleration Gait Male Foot Feasibility Studies Robotics Electric Stimulation Electrodes
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Validation of a Deep Learning Algorithm for Diabetic Retinopathy.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Nov 4, 2019
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Ophthalmologists Diabetes Mellitus Mass Screening Diagnostic Techniques, Ophthalmological Humans Diabetic Retinopathy Algorithms Sensitivity and Specificity Deep Learning
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A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
Humans Machine Learning Algorithms Female Image Processing, Computer-Assisted Support Vector Machine Mammography Bayes Theorem Reproducibility of Results Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve False Positive Reactions Radiographic Image Interpretation, Computer-Assisted Breast Pattern Recognition, Automated
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White blood cells detection and classification based on regional convolutional neural networks.

Medical hypotheses Nov 4, 2019
White blood cells (WBC) are important parts of our immune system and they protect our body against infections by eliminating viruses, bacteria, parasites and fungi. There are five types of WBC. These are called Lymphocytes, Monocytes, Eosinophils, Ba...
Deep Learning Pattern Recognition, Automated Image Processing, Computer-Assisted Algorithms Monocytes Neutrophils Reproducibility of Results Humans Leukocytes Sensitivity and Specificity Eosinophils Neural Networks, Computer Diagnosis, Computer-Assisted Lymphocytes Software
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